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Muzi: Automated Music Therapy for Mental Wellbeing / Mobile application and connected wearable

Muzi: Automated Music Therapy for Mental Wellbeing
Muzi: Automated Music Therapy for Mental Wellbeing

Using the neuroscientific principles of ISO-Principle music therapy, the biometric earphones and connected mobile app utilise the users own music library to support and enhance the three key pillars of mental wellbeing: Mood regulation, exercise, and sleep. Holistically reducing stress throughout the day and empowering switching off when wanted.

Muzi proposes a unique system to automate the therapy; combining biometric sensors to read human emotion, and music-mood analysis software to read music emotion. Biometric feedback allows the system to continually learn and become more personalised as the user interacts with the product and app.

University

Brunel University

Brunel University
London, United Kingdom

Lilly Hyatt,
Brunel University